{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"speechmatics","slug":"speechmatics","name":"Speechmatics","type":"api","url":"https://www.speechmatics.com","page_url":"https://unfragile.ai/speechmatics","categories":["voice-audio"],"tags":[],"pricing":{"model":"usage-based","free":true,"starting_price":"$0.60/hr"},"status":"active","verified":false},"capabilities":[{"id":"speechmatics__cap_0","uri":"capability://data.processing.analysis.real.time.speech.to.text.transcription.with.sub.second.latency","name":"real-time speech-to-text transcription with sub-second latency","description":"Converts live audio streams to text with claimed sub-1-second latency using a proprietary neural acoustic model optimized for streaming inference. Supports continuous audio input via persistent connections (WebSocket or gRPC streaming), with intermediate results returned before final transcription is complete, enabling responsive voice interfaces and live captioning without perceptible delay.","intents":["I need to transcribe live voice calls or meetings in real-time for accessibility or compliance","I'm building a voice agent that needs to respond to user speech with minimal latency","I want to provide live captions for video streams or broadcasts as they happen"],"best_for":["contact center platforms requiring sub-second transcription for agent assist","voice AI applications (voice agents, voice search) where latency directly impacts UX","accessibility-focused products (live captioning, real-time transcription for deaf/hard-of-hearing users)"],"limitations":["Latency claims ('sub-second') are unverified and may vary by audio quality, network conditions, and concurrent load","Maximum concurrent real-time sessions limited by tier: 2 (Free), 50 (Pro), higher (Enterprise)","No documented maximum streaming session duration; unclear if sessions auto-terminate after extended periods","Streaming audio format constraints (sample rate, codec, mono vs. stereo) not publicly documented"],"requires":["API key from Speechmatics (free tier available)","Persistent network connection (WebSocket or gRPC capable)","Audio input at documented sample rate (likely 16kHz or 48kHz, unconfirmed)","Concurrent session quota not exceeded for your tier"],"input_types":["audio stream (real-time PCM or compressed audio codec)","audio metadata (language code, optional custom dictionary)"],"output_types":["partial transcription results (intermediate, non-final)","final transcription with confidence scores","speaker identification (if multi-speaker mode enabled)"],"categories":["data-processing-analysis","real-time-streaming"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_1","uri":"capability://data.processing.analysis.batch.audio.file.transcription.with.custom.dictionary.injection","name":"batch audio file transcription with custom dictionary injection","description":"Processes pre-recorded audio files (WAV, MP3, Opus, etc.) asynchronously, returning full transcriptions with optional domain-specific vocabulary via custom dictionary. Supports up to 10 concurrent file jobs per second (Pro tier), with job queuing and async completion callbacks (webhook mechanism unconfirmed). Custom dictionaries allow injection of domain terminology (e.g., medical terms, product names) to reduce transcription errors in specialized contexts.","intents":["I need to transcribe large archives of recorded calls, interviews, or podcasts with domain-specific terminology","I want to reduce transcription errors for medical, legal, or technical jargon by providing a custom vocabulary list","I'm building a batch processing pipeline that transcribes hundreds of files daily without blocking on individual results"],"best_for":["contact center analytics platforms processing call recordings post-hoc","medical/legal transcription services where custom dictionaries reduce error rates on specialized terminology","content creators (podcasters, video producers) needing bulk transcription with custom vocabulary"],"limitations":["Maximum audio file size not documented; unclear if there are practical limits (e.g., 2GB, 10GB)","Maximum audio duration per file not specified; unclear if there are per-file time limits","Custom dictionary format, size limits, and maximum number of entries not documented","Async job completion mechanism (webhooks, polling endpoints) not publicly detailed","No documented SLA for batch job completion time; turnaround time depends on queue depth and tier"],"requires":["API key from Speechmatics","Audio file in supported format (WAV, MP3, Opus, or other; full list unconfirmed)","Optional: custom dictionary file (format and schema unspecified)","Ability to poll or receive webhooks for job completion (webhook support unconfirmed)"],"input_types":["audio file (MP3, WAV, Opus, or other compressed/uncompressed formats)","language code (e.g., 'en', 'es', 'fr')","optional custom dictionary (format unknown; likely JSON or CSV)"],"output_types":["full transcription text","word-level timestamps and confidence scores","speaker identification (if multi-speaker mode enabled)","structured JSON or plain text output"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_10","uri":"capability://safety.moderation.api.key.based.authentication.with.tier.based.rate.limiting.and.quota.management","name":"api key-based authentication with tier-based rate limiting and quota management","description":"Secures API access via API key authentication (format unspecified; likely 'Authorization: Bearer' or 'X-API-Key' header). Enforces tier-based rate limits and monthly quotas: Free tier (480 min/month STT, 1M chars/month TTS, 2 concurrent sessions), Pro tier (480 min/month free + overage, 50 concurrent sessions, 10 file jobs/sec), Enterprise (unlimited). Rate limits prevent abuse and ensure fair resource allocation across users.","intents":["I need to authenticate my application with Speechmatics API and ensure I don't exceed my tier's quotas","I want to monitor my API usage and understand when I'm approaching rate limits or monthly quotas","I'm building a multi-tenant application and need to enforce per-customer rate limits using Speechmatics quotas"],"best_for":["any application using Speechmatics API (authentication is mandatory)","multi-tenant SaaS platforms needing to enforce per-customer quotas","cost-conscious teams monitoring API usage to stay within Free tier limits"],"limitations":["API key format and authentication header not documented; unclear if 'Bearer', 'X-API-Key', or other format","Rate limit response codes and error messages not documented; unclear if 429 (Too Many Requests) or other status code","Quota reset timing not specified; likely monthly (calendar month or rolling 30 days?)","No documented quota increase mechanism; unclear if Pro tier users can request higher limits","No documented API key rotation or revocation mechanism","No documented per-endpoint rate limits; unclear if all endpoints share same quota or have separate limits"],"requires":["API key from Speechmatics (obtained via free account signup)","HTTP client capable of setting authentication headers"],"input_types":["API key (string, format unspecified)"],"output_types":["authentication success/failure response","rate limit headers (if returned; format unspecified)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_11","uri":"capability://automation.workflow.free.tier.with.480.minutes.month.speech.to.text.and.1m.characters.month.text.to.speech","name":"free tier with 480 minutes/month speech-to-text and 1m characters/month text-to-speech","description":"Freemium pricing model offering 480 minutes/month of speech-to-text transcription and 1M characters/month (~20 hours) of text-to-speech synthesis without credit card requirement. Enables developers to prototype and test Speechmatics APIs before committing to paid tiers. Free tier includes 2 concurrent real-time sessions and English-only TTS. Overage usage requires upgrade to Pro or Enterprise tier.","intents":["I want to evaluate Speechmatics API for my use case without paying upfront","I'm building a prototype or MVP and need free speech recognition and synthesis for testing","I'm a student or researcher and need free API access for non-commercial projects"],"best_for":["individual developers and startups prototyping voice applications","students and researchers evaluating speech recognition technology","teams with low-volume speech processing needs (<480 min/month)"],"limitations":["480 minutes/month STT quota is modest; typical contact center uses 1000+ min/month","1M characters/month TTS quota (~20 hours) is limited for voice agent applications","2 concurrent real-time sessions is restrictive for multi-user applications","English-only TTS on free tier; multilingual TTS requires paid tier","No custom dictionary support on free tier (likely; unconfirmed)","No medical model access on free tier (likely; unconfirmed)","Quota reset timing not specified; likely monthly (calendar or rolling 30 days?)"],"requires":["Free Speechmatics account (email signup, no credit card required)","API key from free account"],"input_types":["audio for transcription or text for synthesis (within monthly quotas)"],"output_types":["transcription or synthesis output (same as paid tiers)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_12","uri":"capability://automation.workflow.startup.program.with.up.to.50k.in.api.credits","name":"startup program with up to $50k in api credits","description":"Startup incentive program offering up to $50k in API credits for early-stage companies, reducing cost of speech recognition and synthesis during product development and scaling. Application-based program (criteria and approval timeline not documented). Credits likely apply to all API usage (STT, TTS, custom models) and may have expiration dates or usage restrictions.","intents":["I'm a startup building a voice-enabled product and need to reduce API costs during early growth","I want to access Speechmatics APIs at scale without significant upfront investment","I'm raising funding and need to demonstrate cost-effective speech recognition for investor pitches"],"best_for":["early-stage startups (likely Series A or earlier) building voice-enabled products","bootstrapped teams with limited budgets for API costs","companies in accelerator programs (Y Combinator, Techstars, etc.) that may have partnership with Speechmatics"],"limitations":["Eligibility criteria not documented; unclear if limited to specific industries, geographies, or funding stages","Application process and approval timeline not specified; likely 1-2 weeks","Credit amount ($50k) likely varies by company stage and use case; maximum may be lower for some applicants","Credit expiration date not specified; likely 12-24 months","No documented restrictions on credit usage (e.g., no resale, no use for competing products)","Credit renewal or extension process not documented"],"requires":["Early-stage startup status (definition unspecified)","Application to Speechmatics startup program (process unspecified)","Approval from Speechmatics team"],"input_types":["startup application (company info, product description, funding stage, etc.)"],"output_types":["approval/rejection decision","credit amount and expiration date"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_13","uri":"capability://tool.use.integration.pro.tier.with.0.24.hour.billing.and.20.volume.discount","name":"pro tier with $0.24/hour billing and 20% volume discount","description":"Provides a paid tier at $0.24 per hour of transcription with a 20% discount available for volume commitments. The Pro tier includes 480 minutes of free monthly transcription (matching free tier) plus overage billing, 50 concurrent sessions for real-time transcription, and 10 file jobs per second for batch processing. Pricing structure and overage rates are not fully documented.","intents":["Scale transcription beyond free tier limits for production applications","Process high-volume transcription with predictable per-hour costs","Run multiple concurrent real-time transcription sessions","Achieve volume discounts for large-scale transcription workflows"],"best_for":["Production applications with moderate to high transcription volume","Teams processing 500+ hours of audio monthly","Real-time voice applications requiring 50+ concurrent sessions","Batch transcription pipelines with 10+ jobs per second throughput"],"limitations":["Pricing model unclear: $0.24/hr may apply to real-time only, batch pricing unknown","Overage pricing for exceeding free tier allocation not documented","20% discount conditions and minimum commitment not specified","No published SLA or uptime guarantees","Support tier and response times not documented"],"requires":["Speechmatics Pro tier subscription","Valid payment method for overage billing","Understanding of expected transcription volume for cost estimation"],"input_types":["audio files or streams (unlimited volume)","text for synthesis (overage pricing unknown)"],"output_types":["transcription results","synthesized speech","usage and billing reports"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_2","uri":"capability://data.processing.analysis.multilingual.speech.recognition.across.55.languages.with.automatic.language.detection","name":"multilingual speech recognition across 55+ languages with automatic language detection","description":"Recognizes speech in 55+ languages and language variants using a single unified multilingual acoustic model, with optional automatic language detection (no pre-specified language code required) or explicit language specification. Supports code-switching (mixing languages within a single utterance) and regional variants (e.g., British English, Mandarin vs. Cantonese). Language detection likely uses a classifier on initial audio frames to route to appropriate language-specific decoder.","intents":["I need to transcribe multilingual content without knowing the language in advance","I'm building a global voice application that serves users in 50+ countries with native language support","I want to handle code-switching scenarios where speakers mix languages (e.g., Spanglish, Hinglish)"],"best_for":["global contact centers handling calls in multiple languages without pre-routing","international video conferencing platforms needing automatic language detection for captions","multilingual voice assistants and chatbots serving diverse user bases"],"limitations":["Automatic language detection accuracy not documented; likely fails on very short utterances or heavy accents","Code-switching support claimed but not detailed; unclear which language pairs are optimized","Regional variant support (e.g., British vs. American English) not explicitly documented","No published accuracy benchmarks per language; likely varies significantly across languages (e.g., English > Mandarin > low-resource languages)","Language list (all 55+ languages) not publicly enumerated; unclear which languages are supported"],"requires":["API key from Speechmatics","Audio in one of 55+ supported languages (full list unconfirmed)","Optional: explicit language code if auto-detection not desired"],"input_types":["audio stream or file in any of 55+ supported languages","optional language code (e.g., 'en', 'es', 'zh', 'hi')","optional regional variant code (e.g., 'en-GB', 'es-MX')"],"output_types":["transcription in source language","detected language code (if auto-detection used)","confidence score for language detection (if available)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_3","uri":"capability://data.processing.analysis.domain.specific.medical.speech.recognition.with.50.error.reduction.on.medical.terminology","name":"domain-specific medical speech recognition with 50% error reduction on medical terminology","description":"Specialized acoustic and language model trained on medical terminology, clinical dictation, and healthcare-specific speech patterns. Reduces transcription errors on medical terms by up to 50% (claimed) compared to general-purpose model through domain-specific vocabulary, acoustic adaptation, and likely medical-specific language model decoding. Intended for clinical documentation, medical transcription services, and healthcare voice applications.","intents":["I'm building a medical transcription service and need to reduce errors on clinical terminology (drug names, anatomical terms, procedures)","I want to enable physicians to dictate clinical notes with high accuracy for EHR integration","I need to transcribe medical audio (patient interviews, clinical rounds) with specialized vocabulary support"],"best_for":["medical transcription services and healthcare IT vendors","EHR/EMR systems with voice-to-text clinical documentation features","telemedicine platforms needing accurate transcription of patient-provider conversations"],"limitations":["50% error reduction claim is unverified and lacks baseline specification (error reduction vs. what baseline model?)","Medical model selection mechanism not documented (likely a parameter, but exact name/value unknown)","Scope of 'medical terminology' not defined; unclear if model covers all medical specialties or is optimized for specific domains (e.g., cardiology, radiology)","No published accuracy metrics (WER, CER) for medical model vs. general model","HIPAA compliance and data handling for medical audio not explicitly documented (though 'compliance-ready infrastructure' mentioned)"],"requires":["API key from Speechmatics","Audio containing medical terminology or clinical speech patterns","Explicit selection of medical model (parameter/flag name unconfirmed)","Optional: custom medical dictionary for institution-specific terminology"],"input_types":["audio stream or file containing medical speech (clinical dictation, patient interviews, rounds)","optional custom medical dictionary (format unspecified)"],"output_types":["transcription with medical terminology accurately recognized","confidence scores per word (useful for identifying uncertain medical terms)","optional structured output for EHR integration (format unspecified)"],"categories":["data-processing-analysis","domain-specific-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_4","uri":"capability://data.processing.analysis.multi.speaker.diarization.and.speaker.identification","name":"multi-speaker diarization and speaker identification","description":"Automatically detects speaker boundaries and identifies distinct speakers in multi-speaker audio (e.g., conversations, meetings, interviews) without requiring pre-defined speaker profiles. Uses speaker embedding models (likely x-vector or speaker-encoder based) to cluster speech segments by speaker identity, outputting transcription with speaker labels (e.g., 'Speaker 1:', 'Speaker 2:'). Supports 2-N speakers with no documented upper limit.","intents":["I need to transcribe meeting recordings and identify who said what without manual annotation","I want to analyze multi-speaker conversations (interviews, focus groups, panel discussions) with speaker attribution","I'm building a meeting intelligence platform that needs to segment and label speakers automatically"],"best_for":["meeting transcription and analysis platforms (Otter.ai competitors)","contact center quality assurance systems analyzing agent-customer conversations","media and journalism platforms transcribing interviews and panel discussions"],"limitations":["Speaker identification accuracy not documented; likely degrades with >4 speakers or heavy overlapping speech","No speaker profile enrollment mechanism documented; diarization is unsupervised (no pre-defined speaker models)","Overlapping speech handling not specified; unclear if simultaneous speakers are merged or separated","Speaker label consistency across jobs not guaranteed; same speaker in different files may receive different labels","Minimum audio duration per speaker not specified; likely requires 10-30 seconds of speech per speaker for reliable clustering"],"requires":["API key from Speechmatics","Audio with 2+ distinct speakers","Optional: explicit speaker count (if known, may improve accuracy)"],"input_types":["audio stream or file with multiple speakers","optional speaker count hint"],"output_types":["transcription with speaker labels (e.g., 'Speaker 1: Hello', 'Speaker 2: Hi there')","speaker change timestamps","speaker embedding vectors (if available for downstream clustering)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_5","uri":"capability://text.generation.language.low.latency.text.to.speech.synthesis.optimized.for.voice.agents","name":"low-latency text-to-speech synthesis optimized for voice agents","description":"Converts text to natural-sounding speech with claimed low latency suitable for real-time voice agent interactions. Supports English language (with 'more languages coming soon'). Synthesis likely uses a neural vocoder (e.g., WaveGlow, Glow-TTS) for naturalness and fast inference. Optimized for voice agent use cases where response latency directly impacts perceived responsiveness (target: <500ms for typical agent responses).","intents":["I'm building a voice agent or IVR system that needs to respond to user queries with natural-sounding speech in real-time","I want to add voice output to a conversational AI application without noticeable latency","I need to synthesize dynamic text (e.g., personalized greetings, data-driven responses) for voice interactions"],"best_for":["voice agent platforms and conversational AI systems (Twilio, Vonage, custom voice bots)","IVR and contact center systems requiring dynamic voice responses","accessibility features in applications (screen reader alternatives, voice output for visually impaired users)"],"limitations":["English language only; 'more languages coming soon' suggests limited multilingual support","Latency claims ('low-latency', 'ideal for voice agents') are unverified; no published p50/p95/p99 latency metrics","Maximum text length per request not documented; unclear if there are per-request character limits","Voice customization options not documented; unclear if multiple voices, accents, or speaking styles are available","Streaming audio output format not specified (likely MP3 or WAV, but unconfirmed)","Free tier limited to 1M characters/month (~20 hours); overage pricing not documented"],"requires":["API key from Speechmatics","Text input in English language","Ability to stream or buffer audio output"],"input_types":["text string (English language, max length unspecified)","optional voice/style parameters (if available; unconfirmed)"],"output_types":["audio stream (format unspecified; likely MP3 or WAV)","audio duration metadata"],"categories":["text-generation-language","real-time-streaming"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_6","uri":"capability://text.generation.language.custom.voice.development.and.fine.tuning.for.enterprise.deployments","name":"custom voice development and fine-tuning for enterprise deployments","description":"Enterprise-tier capability enabling development of custom synthetic voices tailored to organization branding, speaker identity, or specific use cases. Likely involves voice cloning or speaker adaptation techniques (e.g., speaker embedding fine-tuning, speaker-conditional TTS) using organization-provided audio samples. Custom voices can be deployed on-premises or in private cloud for regulated environments. Implementation details (training data requirements, adaptation time, voice quality metrics) not documented.","intents":["I want to create a branded voice for my company's voice agent or IVR system","I need to clone a specific speaker's voice for accessibility or personalization purposes","I'm deploying a voice system in a regulated environment and need custom voices without external API calls"],"best_for":["enterprise contact centers and voice platforms requiring branded voice experiences","regulated industries (healthcare, finance) needing on-premises voice synthesis with custom voices","accessibility applications requiring speaker-specific voice cloning"],"limitations":["Custom voice development process, timeline, and cost not documented; likely requires enterprise engagement","Minimum audio sample requirements for voice cloning not specified; likely requires 10-30 minutes of clean speech","Voice quality metrics and naturalness benchmarks not published","Licensing and IP ownership of custom voices not documented","Custom voice deployment options (on-premises, private cloud, hybrid) not detailed","No self-service custom voice API; likely requires manual engagement with Speechmatics team"],"requires":["Enterprise tier subscription","Audio samples of target voice (quantity and quality unspecified)","Direct engagement with Speechmatics professional services team"],"input_types":["audio samples of target voice (format and duration unspecified)","optional voice characteristics or branding guidelines"],"output_types":["custom voice model (deployment format unspecified)","voice quality assessment and naturalness metrics (if provided)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_7","uri":"capability://automation.workflow.on.premises.and.on.device.deployment.for.regulated.environments","name":"on-premises and on-device deployment for regulated environments","description":"Enables deployment of Speechmatics speech recognition and synthesis models on customer-managed infrastructure (on-premises data centers, private cloud, edge devices) for organizations with data residency, compliance, or latency requirements. Supports air-gapped deployments with no external API calls. Likely includes containerized model packages (Docker), licensing mechanisms, and optional hardware acceleration (GPU support). Eliminates cloud dependency and enables compliance with HIPAA, GDPR, and other data protection regulations.","intents":["I need to deploy speech recognition in a regulated environment (healthcare, finance) where audio data cannot leave our infrastructure","I want to reduce latency by running speech models on-device or in our private data center","I'm building a voice application that must comply with data residency requirements (e.g., GDPR, HIPAA)"],"best_for":["healthcare organizations requiring HIPAA-compliant speech transcription","financial services and government agencies with strict data residency requirements","edge computing and IoT applications requiring on-device speech processing"],"limitations":["On-premises deployment licensing, pricing, and terms not documented; likely requires custom enterprise agreement","Hardware requirements (CPU, GPU, memory) for on-premises models not specified; likely requires GPU for real-time performance","Model update and versioning strategy for on-premises deployments not documented; unclear if updates are automatic or manual","Support and SLA for on-premises deployments not detailed","On-device deployment constraints (model size, latency, accuracy trade-offs) not specified; likely requires model quantization or distillation","Integration with existing on-premises infrastructure (authentication, monitoring, logging) not documented"],"requires":["Enterprise tier subscription","On-premises infrastructure (data center, private cloud, or edge device)","Sufficient compute resources (GPU recommended for real-time performance)","Network isolation or air-gap capability (for fully disconnected deployments)","Direct engagement with Speechmatics for licensing and deployment support"],"input_types":["audio stream or file (same formats as cloud API)","deployment configuration (model selection, hardware allocation, etc.)"],"output_types":["transcription or synthesis output (same as cloud API)","deployment metrics (latency, resource utilization, error rates)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_8","uri":"capability://data.processing.analysis.audio.alignment.and.word.level.timing.for.transcription.synchronization","name":"audio alignment and word-level timing for transcription synchronization","description":"Provides precise word-level timestamps and audio alignment, enabling synchronization of transcription with video, subtitles, or other time-based media. Returns start/end timestamps for each word (and optionally phoneme-level timing) with confidence scores. Useful for video captioning, subtitle generation, and audio-visual synchronization. Enterprise-tier feature with higher accuracy and finer granularity than standard transcription.","intents":["I need to generate accurate subtitles for video content with precise word-level timing","I want to synchronize transcription with video playback for video editing or accessibility","I'm building a video captioning platform and need reliable word-level timestamps"],"best_for":["video production and editing platforms (Adobe Premiere, DaVinci Resolve integrations mentioned)","subtitle generation and video captioning services","accessibility platforms providing synchronized captions for video content"],"limitations":["Audio alignment accuracy not documented; likely varies by audio quality and speaker clarity","Phoneme-level timing availability not confirmed; unclear if sub-word timing is supported","Timestamp precision (millisecond vs. frame-level) not specified","Enterprise-tier feature; not available on Free or Pro tiers","Integration with video editing software (Adobe Premiere mentioned) not detailed; unclear if native plugin or API-based"],"requires":["Enterprise tier subscription","Audio with clear speech (background noise reduces alignment accuracy)","Optional: video file for synchronization (if using video editing integration)"],"input_types":["audio stream or file","optional video file (if using video editing integration)"],"output_types":["transcription with word-level timestamps (start/end times in milliseconds)","confidence scores per word","optional phoneme-level timing (if supported)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__cap_9","uri":"capability://text.generation.language.translation.of.transcribed.speech.to.target.languages","name":"translation of transcribed speech to target languages","description":"Translates transcribed speech or text to target languages, enabling cross-lingual communication and content localization. Likely uses neural machine translation (NMT) models trained on multilingual corpora. Can be applied post-transcription (transcribe in source language, then translate) or as part of unified transcription-translation pipeline. Supports 55+ language pairs with varying translation quality depending on language pair and domain.","intents":["I need to transcribe speech in one language and translate it to multiple target languages for global distribution","I want to enable cross-lingual communication in a contact center or voice application","I'm localizing video content and need to transcribe and translate speech automatically"],"best_for":["global content platforms and media companies localizing video/audio content","international contact centers handling multilingual customer interactions","accessibility platforms providing translated captions for international audiences"],"limitations":["Translation quality not documented; likely varies significantly by language pair and domain","Supported language pairs not enumerated; unclear if all 55+ languages can be translated to all other languages","Translation model selection and customization not documented; unclear if domain-specific models are available","Post-transcription vs. integrated translation pipeline not specified; unclear which approach is used","Translation latency not documented; likely adds 100-500ms per translation","No documented support for terminology customization or glossaries for translation"],"requires":["API key from Speechmatics","Transcribed text or audio in source language","Target language code(s) for translation"],"input_types":["transcribed text or audio in source language","target language code(s) (e.g., 'es', 'fr', 'zh')"],"output_types":["translated text in target language(s)","optional confidence scores for translation quality"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"speechmatics__headline","uri":"capability://voice.audio.autonomous.speech.recognition.api","name":"autonomous speech recognition api","description":"Speechmatics is an autonomous speech recognition platform that delivers industry-leading accuracy across 50 languages, offering real-time and batch transcription, custom dictionary support, and on-premises deployment options for enterprise environments.","intents":["best speech recognition API","speech-to-text API for real-time transcription","batch transcription API for enterprises","speech recognition solutions for multiple languages","API for accurate audio transcription"],"best_for":["enterprise environments","real-time applications"],"limitations":["requires internet connection"],"requires":["audio input"],"input_types":["audio files"],"output_types":["transcribed text"],"categories":["voice-audio"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":58,"verified":false,"data_access_risk":"high","permissions":["API key from Speechmatics (free tier available)","Persistent network connection (WebSocket or gRPC capable)","Audio input at documented sample rate (likely 16kHz or 48kHz, unconfirmed)","Concurrent session quota not exceeded for your tier","API key from Speechmatics","Audio file in supported format (WAV, MP3, Opus, or other; full list unconfirmed)","Optional: custom dictionary file (format and schema unspecified)","Ability to poll or receive webhooks for job completion (webhook support unconfirmed)","API key from Speechmatics (obtained via free account signup)","HTTP client capable of setting authentication headers"],"failure_modes":["Latency claims ('sub-second') are unverified and may vary by audio quality, network conditions, and concurrent load","Maximum concurrent real-time sessions limited by tier: 2 (Free), 50 (Pro), higher (Enterprise)","No documented maximum streaming session duration; unclear if sessions auto-terminate after extended periods","Streaming audio format constraints (sample rate, codec, mono vs. stereo) not publicly documented","Maximum audio file size not documented; unclear if there are practical limits (e.g., 2GB, 10GB)","Maximum audio duration per file not specified; unclear if there are per-file time limits","Custom dictionary format, size limits, and maximum number of entries not documented","Async job completion mechanism (webhooks, polling endpoints) not publicly detailed","No documented SLA for batch job completion time; turnaround time depends on queue depth and tier","API key format and authentication header not documented; unclear if 'Bearer', 'X-API-Key', or other format","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:28.695Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=speechmatics","compare_url":"https://unfragile.ai/compare?artifact=speechmatics"}},"signature":"HqCLOsd4GLE04+sSjHtkfNCfR0wMNRd4jhdPS0AVO0SQWgoZCuMR1t5G1IxGesWtTbA5sMYDHW0I3s4VwVMNBA==","signedAt":"2026-06-22T02:36:55.759Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/speechmatics","artifact":"https://unfragile.ai/speechmatics","verify":"https://unfragile.ai/api/v1/verify?slug=speechmatics","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}